
"""simple docstring"""



import re
import time
from typing import Optional

import IPython.display as disp

from ..trainer_callback import TrainerCallback
from ..trainer_utils import IntervalStrategy, has_length


def 			_UpperCamelCase						(    _A   )     ->	Union[str, Any]:





    """simple docstring"""

    _UpperCAmelCase        = int(_A   )
    _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase        = t // 3_6_0_0, (t // 6_0) % 6_0, t % 6_0
    return F"""{h}:{m:02d}:{s:02d}""" if h != 0 else F"""{m:02d}:{s:02d}"""


def 			_UpperCamelCase						(    _A       ,   _A       ,   _A       ,   _A       ,   _A=3_0_0   )     ->	List[Any]:





    """simple docstring"""

    return F"""
    <div>
      {prefix}
      <progress value='{value}' max='{total}' style='width:{width}px; height:20px; vertical-align: middle;'></progress>
      {label}
    </div>
    """


def 			_UpperCamelCase						(    _A   )     ->	List[str]:





    """simple docstring"""

    _UpperCAmelCase        = """<table border=\"1\" class=\"dataframe\">\n"""
    html_code += """  <thead>\n <tr style="text-align: left;">\n"""
    for i in items[0]:
        html_code += F"""      <th>{i}</th>\n"""
    html_code += "    </tr>\n  </thead>\n  <tbody>\n"
    for line in items[1:]:
        html_code += "    <tr>\n"
        for elt in line:
            _UpperCAmelCase        = F"""{elt:.6f}""" if isinstance(_A       ,   _A   ) else str(_A   )
            html_code += F"""      <td>{elt}</td>\n"""
        html_code += "    </tr>\n"
    html_code += "  </tbody>\n</table><p>"
    return html_code




class 		a_    :
    a   :					List[str]			     =					5
    a   :					Optional[int]			     =					0.2







    def __init__(      self      :							List[Any]  ,       __UpperCamelCase      :							int  ,       __UpperCamelCase      :							Optional[str] = None  ,       __UpperCamelCase      :							bool = True  ,       __UpperCamelCase      :							Optional["NotebookTrainingTracker"] = None  ,       __UpperCamelCase      :							int = 3_00  ,       )		->Dict:






        '''simple docstring'''






        _UpperCAmelCase        = total
        _UpperCAmelCase        = """""" if prefix is None else prefix
        _UpperCAmelCase        = leave
        _UpperCAmelCase        = parent
        _UpperCAmelCase        = width
        _UpperCAmelCase        = None
        _UpperCAmelCase        = None
        _UpperCAmelCase        = None







    def   _snake_case       (      self      :							List[Any]  ,       __UpperCamelCase      :							int  ,       __UpperCamelCase      :							bool = False  ,       __UpperCamelCase      :							str = None  )		->int:






        '''simple docstring'''






        _UpperCAmelCase        = value
        if comment is not None:
            _UpperCAmelCase        = comment
        if self.last_value is None:
            _UpperCAmelCase        = _UpperCAmelCase        = time.time()
            _UpperCAmelCase        = _UpperCAmelCase        = value
            _UpperCAmelCase        = _UpperCAmelCase        = None
            _UpperCAmelCase        = self.warmup
            _UpperCAmelCase        = 1
            self.update_bar(__UpperCamelCase  )
        elif value <= self.last_value and not force_update:
            return
        elif force_update or self.first_calls > 0 or value >= min(self.last_value + self.wait_for  ,       self.total  ):
            if self.first_calls > 0:
                self.first_calls -= 1
            _UpperCAmelCase        = time.time()
            _UpperCAmelCase        = current_time - self.start_time
            # We could have value = self.start_value if the update is called twixe with the same start value.
            if value > self.start_value:
                _UpperCAmelCase        = self.elapsed_time / (value - self.start_value)
            else:
                _UpperCAmelCase        = None
            if value >= self.total:
                _UpperCAmelCase        = self.total
                _UpperCAmelCase        = None
                if not self.leave:
                    self.close()
            elif self.average_time_per_item is not None:
                _UpperCAmelCase        = self.average_time_per_item * (self.total - value)
            self.update_bar(__UpperCamelCase  )
            _UpperCAmelCase        = value
            _UpperCAmelCase        = current_time
            if self.average_time_per_item is None:
                _UpperCAmelCase        = 1
            else:
                _UpperCAmelCase        = max(int(self.update_every / self.average_time_per_item  )  ,       1  )







    def   _snake_case       (      self      :							str  ,       __UpperCamelCase      :							int  ,       __UpperCamelCase      :							Union[str, Any]=None  )		->str:






        '''simple docstring'''






        _UpperCAmelCase        = """ """ * (len(str(self.total  )  ) - len(str(__UpperCamelCase  )  )) + str(__UpperCamelCase  )
        if self.elapsed_time is None:
            _UpperCAmelCase        = f"""[{spaced_value}/{self.total} : < :"""
        elif self.predicted_remaining is None:
            _UpperCAmelCase        = f"""[{spaced_value}/{self.total} {format_time(self.elapsed_time  )}"""
        else:
            _UpperCAmelCase        = (
                f"""[{spaced_value}/{self.total} {format_time(self.elapsed_time  )} <"""
                f""" {format_time(self.predicted_remaining  )}"""
            )
            self.label += f""", {1/self.average_time_per_item:.2f} it/s"""
        self.label += "]" if self.comment is None or len(self.comment  ) == 0 else f""", {self.comment}]"""
        self.display()







    def   _snake_case       (      self      :							List[str]  )		->List[Any]:






        '''simple docstring'''






        _UpperCAmelCase        = html_progress_bar(self.value  ,       self.total  ,       self.prefix  ,       self.label  ,       self.width  )
        if self.parent is not None:
            # If this is a child bar, the parent will take care of the display.
            self.parent.display()
            return
        if self.output is None:
            _UpperCAmelCase        = disp.display(disp.HTML(self.html_code  )  ,       display_id=__UpperCamelCase  )
        else:
            self.output.update(disp.HTML(self.html_code  )  )







    def   _snake_case       (      self      :							str  )		->int:






        '''simple docstring'''






        if self.parent is None and self.output is not None:
            self.output.update(disp.HTML(""""""  )  )







class 		a_    (			_UpperCAmelCase						):







    def __init__(      self      :							Dict  ,       __UpperCamelCase      :							List[Any]  ,       __UpperCamelCase      :							str=None  )		->str:






        '''simple docstring'''






        super().__init__(__UpperCamelCase  )
        _UpperCAmelCase        = None if column_names is None else [column_names]
        _UpperCAmelCase        = None







    def   _snake_case       (      self      :							Optional[Any]  )		->Optional[int]:






        '''simple docstring'''






        _UpperCAmelCase        = html_progress_bar(self.value  ,       self.total  ,       self.prefix  ,       self.label  ,       self.width  )
        if self.inner_table is not None:
            self.html_code += text_to_html_table(self.inner_table  )
        if self.child_bar is not None:
            self.html_code += self.child_bar.html_code
        if self.output is None:
            _UpperCAmelCase        = disp.display(disp.HTML(self.html_code  )  ,       display_id=__UpperCamelCase  )
        else:
            self.output.update(disp.HTML(self.html_code  )  )







    def   _snake_case       (      self      :							Optional[Any]  ,       __UpperCamelCase      :							List[Any]  )		->Union[str, Any]:






        '''simple docstring'''






        if self.inner_table is None:
            _UpperCAmelCase        = [list(values.keys()  ), list(values.values()  )]
        else:
            _UpperCAmelCase        = self.inner_table[0]
            if len(self.inner_table  ) == 1:
                # We give a chance to update the column names at the first iteration
                for key in values.keys():
                    if key not in columns:
                        columns.append(__UpperCamelCase  )
                _UpperCAmelCase        = columns
            self.inner_table.append([values[c] for c in columns]  )







    def   _snake_case       (      self      :							Dict  ,       __UpperCamelCase      :							Union[str, Any]  ,       __UpperCamelCase      :							Union[str, Any]=None  ,       __UpperCamelCase      :							List[str]=3_00  )		->List[Any]:






        '''simple docstring'''






        _UpperCAmelCase        = NotebookProgressBar(__UpperCamelCase  ,       prefix=__UpperCamelCase  ,       parent=self  ,       width=__UpperCamelCase  )
        return self.child_bar







    def   _snake_case       (      self      :							int  )		->int:






        '''simple docstring'''






        _UpperCAmelCase        = None
        self.display()







class 		a_    (			_UpperCAmelCase						):







    def __init__(      self      :							Any  )		->List[str]:






        '''simple docstring'''






        _UpperCAmelCase        = None
        _UpperCAmelCase        = None
        _UpperCAmelCase        = False







    def   _snake_case       (      self      :							str  ,       __UpperCamelCase      :							List[str]  ,       __UpperCamelCase      :							Optional[int]  ,       __UpperCamelCase      :							Dict  ,       **__UpperCamelCase      :							Dict  )		->str:






        '''simple docstring'''






        _UpperCAmelCase        = """Epoch""" if args.evaluation_strategy == IntervalStrategy.EPOCH else """Step"""
        _UpperCAmelCase        = 0
        _UpperCAmelCase        = 0
        _UpperCAmelCase        = [self.first_column] + ["""Training Loss"""]
        if args.evaluation_strategy != IntervalStrategy.NO:
            column_names.append("""Validation Loss"""  )
        _UpperCAmelCase        = NotebookTrainingTracker(state.max_steps  ,       __UpperCamelCase  )







    def   _snake_case       (      self      :							Optional[Any]  ,       __UpperCamelCase      :							Union[str, Any]  ,       __UpperCamelCase      :							List[str]  ,       __UpperCamelCase      :							List[Any]  ,       **__UpperCamelCase      :							Dict  )		->Optional[int]:






        '''simple docstring'''






        _UpperCAmelCase        = int(state.epoch  ) if int(state.epoch  ) == state.epoch else f"""{state.epoch:.2f}"""
        self.training_tracker.update(
            state.global_step + 1  ,       comment=f"""Epoch {epoch}/{state.num_train_epochs}"""  ,       force_update=self._force_next_update  ,       )
        _UpperCAmelCase        = False







    def   _snake_case       (      self      :							Optional[int]  ,       __UpperCamelCase      :							Optional[Any]  ,       __UpperCamelCase      :							Dict  ,       __UpperCamelCase      :							Any  ,       __UpperCamelCase      :							Any=None  ,       **__UpperCamelCase      :							List[Any]  )		->List[Any]:






        '''simple docstring'''






        if not has_length(__UpperCamelCase  ):
            return
        if self.prediction_bar is None:
            if self.training_tracker is not None:
                _UpperCAmelCase        = self.training_tracker.add_child(len(__UpperCamelCase  )  )
            else:
                _UpperCAmelCase        = NotebookProgressBar(len(__UpperCamelCase  )  )
            self.prediction_bar.update(1  )
        else:
            self.prediction_bar.update(self.prediction_bar.value + 1  )







    def   _snake_case       (      self      :							Dict  ,       __UpperCamelCase      :							str  ,       __UpperCamelCase      :							str  ,       __UpperCamelCase      :							str  ,       **__UpperCamelCase      :							Tuple  )		->Optional[int]:






        '''simple docstring'''






        if self.prediction_bar is not None:
            self.prediction_bar.close()
        _UpperCAmelCase        = None







    def   _snake_case       (      self      :							List[str]  ,       __UpperCamelCase      :							List[Any]  ,       __UpperCamelCase      :							Optional[int]  ,       __UpperCamelCase      :							Any  ,       __UpperCamelCase      :							Any=None  ,       **__UpperCamelCase      :							Dict  )		->Dict:






        '''simple docstring'''






        if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
            _UpperCAmelCase        = {"""Training Loss""": logs["""loss"""]}
            # First column is necessarily Step sine we're not in epoch eval strategy
            _UpperCAmelCase        = state.global_step
            self.training_tracker.write_line(__UpperCamelCase  )







    def   _snake_case       (      self      :							Optional[Any]  ,       __UpperCamelCase      :							Tuple  ,       __UpperCamelCase      :							Any  ,       __UpperCamelCase      :							Dict  ,       __UpperCamelCase      :							List[Any]=None  ,       **__UpperCamelCase      :							Tuple  )		->str:






        '''simple docstring'''






        if self.training_tracker is not None:
            _UpperCAmelCase        = {"""Training Loss""": """No log""", """Validation Loss""": """No log"""}
            for log in reversed(state.log_history  ):
                if "loss" in log:
                    _UpperCAmelCase        = log["""loss"""]
                    break

            if self.first_column == "Epoch":
                _UpperCAmelCase        = int(state.epoch  )
            else:
                _UpperCAmelCase        = state.global_step
            _UpperCAmelCase        = """eval"""
            for k in metrics:
                if k.endswith("""_loss"""  ):
                    _UpperCAmelCase        = re.sub(r"""\_loss$"""  ,       """"""  ,       __UpperCamelCase  )
            _UpperCAmelCase        = metrics.pop("""total_flos"""  ,       __UpperCamelCase  )
            _UpperCAmelCase        = metrics.pop("""epoch"""  ,       __UpperCamelCase  )
            _UpperCAmelCase        = metrics.pop(f"""{metric_key_prefix}_runtime"""  ,       __UpperCamelCase  )
            _UpperCAmelCase        = metrics.pop(f"""{metric_key_prefix}_samples_per_second"""  ,       __UpperCamelCase  )
            _UpperCAmelCase        = metrics.pop(f"""{metric_key_prefix}_steps_per_second"""  ,       __UpperCamelCase  )
            _UpperCAmelCase        = metrics.pop(f"""{metric_key_prefix}_jit_compilation_time"""  ,       __UpperCamelCase  )
            for k, v in metrics.items():
                if k == f"""{metric_key_prefix}_loss""":
                    _UpperCAmelCase        = v
                else:
                    _UpperCAmelCase        = k.split("""_"""  )
                    _UpperCAmelCase        = """ """.join([part.capitalize() for part in splits[1:]]  )
                    _UpperCAmelCase        = v
            self.training_tracker.write_line(__UpperCamelCase  )
            self.training_tracker.remove_child()
            _UpperCAmelCase        = None
            # Evaluation takes a long time so we should force the next update.
            _UpperCAmelCase        = True







    def   _snake_case       (      self      :							List[Any]  ,       __UpperCamelCase      :							Dict  ,       __UpperCamelCase      :							Optional[int]  ,       __UpperCamelCase      :							int  ,       **__UpperCamelCase      :							Union[str, Any]  )		->Any:






        '''simple docstring'''






        self.training_tracker.update(
            state.global_step  ,       comment=f"""Epoch {int(state.epoch  )}/{state.num_train_epochs}"""  ,       force_update=__UpperCamelCase  )
        _UpperCAmelCase        = None

"""simple docstring"""



import cva
import numpy as np




class 		a_    :







    def __init__(      self      :							Optional[Any]  ,       __UpperCamelCase      :							float  ,       __UpperCamelCase      :							int  )		->Dict:






        '''simple docstring'''






        if k in (0.0_4, 0.0_6):
            _UpperCAmelCase        = k
            _UpperCAmelCase        = window_size
        else:
            raise ValueError("""invalid k value"""  )







    def __str__(      self      :							Tuple  )		->str:






        '''simple docstring'''






        return str(self.k  )







    def   _snake_case       (      self      :							str  ,       __UpperCamelCase      :							str  )		->tuple[cva.Mat, list[list[int]]]:






        '''simple docstring'''






        _UpperCAmelCase        = cva.imread(__UpperCamelCase  ,       0  )
        _UpperCAmelCase     ,_UpperCAmelCase        = img.shape
        _UpperCAmelCase        = []
        _UpperCAmelCase        = img.copy()
        _UpperCAmelCase        = cva.cvtColor(__UpperCamelCase  ,       cva.COLOR_GRAY2RGB  )
        _UpperCAmelCase     ,_UpperCAmelCase        = np.gradient(__UpperCamelCase  )
        _UpperCAmelCase        = dx**2
        _UpperCAmelCase        = dy**2
        _UpperCAmelCase        = dx * dy
        _UpperCAmelCase        = 0.0_4
        _UpperCAmelCase        = self.window_size // 2
        for y in range(__UpperCamelCase  ,       h - offset  ):
            for x in range(__UpperCamelCase  ,       w - offset  ):
                _UpperCAmelCase        = ixx[
                    y - offset : y + offset + 1, x - offset : x + offset + 1
                ].sum()
                _UpperCAmelCase        = iyy[
                    y - offset : y + offset + 1, x - offset : x + offset + 1
                ].sum()
                _UpperCAmelCase        = ixy[
                    y - offset : y + offset + 1, x - offset : x + offset + 1
                ].sum()

                _UpperCAmelCase        = (wxx * wyy) - (wxy**2)
                _UpperCAmelCase        = wxx + wyy
                _UpperCAmelCase        = det - k * (trace**2)
                # Can change the value
                if r > 0.5:
                    corner_list.append([x, y, r]  )
                    color_img.itemset((y, x, 0)  ,       0  )
                    color_img.itemset((y, x, 1)  ,       0  )
                    color_img.itemset((y, x, 2)  ,       2_55  )
        return color_img, corner_list


if __name__ == "__main__":
 a       :						List[Any]       		=		HarrisCorner(0.04, 3)
 a		,			a       :						List[Any]       		=		edge_detect.detect('''path_to_image''')
 cva.imwrite('''detect.png''', color_img)